We are seeking a highly motivated postdoctoral researcher to join an interdisciplinary project at the interface of single-cell genomics, data integration, and developmental biology.
Requirements
- Strong background in computational biology, bioinformatics, machine learning, or a related quantitative field
- Experience with machine learning and/or statistical modeling applied to biological data
- Proven expertise in single-cell data analysis (scRNA-seq and/or scATAC-seq)
- Proficiency in Python and/or R
- Strong collaborative mindset and ability to work across disciplines
Benefits
- Strong support for high-impact publications and career development
- Access to large, state-of-the-art single-cell multi-omics datasets
- Close collaboration with leading groups in single-cell genomics and machine learning